实战 | OpenCV中更稳更快的找圆方法--EdgeDrawing使用演示（详细步骤 + 代码）

https://github.com/CihanTopal/ED_Lib

https://docs.opencv.org/4.5.2/d1/d1c/classcv_1_1ximgproc_1_1EdgeDrawing.html

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'''This example illustrates how to use cv.ximgproc.EdgeDrawing class.Usage:    ed.py [<image_name>]    image argument defaults to board.jpg'''# Python 2/3 compatibilityfrom __future__ import print_functionimport numpy as npimport cv2 as cvimport random as rngimport sysrng.seed(12345)def main():try:        fn = sys.argv[1]except IndexError:        fn = 'board.jpg'    src = cv.imread(cv.samples.findFile(fn))    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)    cv.imshow("source", src)    ssrc = src.copy()*0    lsrc = src.copy()    esrc = src.copy()    ed = cv.ximgproc.createEdgeDrawing()# you can change parameters (refer the documentation to see all parameters)    EDParams = cv.ximgproc_EdgeDrawing_Params()    EDParams.MinPathLength = 50     # try changing this value between 5 to 1000    EDParams.PFmode = False         # defaut value try to swich it to True    EDParams.MinLineLength = 20     # try changing this value between 5 to 100    EDParams.NFAValidation = True   # defaut value try to swich it to False    ed.setParams(EDParams)# Detect edges# you should call this before detectLines() and detectEllipses()    ed.detectEdges(gray)    segments = ed.getSegments()    lines = ed.detectLines()    ellipses = ed.detectEllipses()#Draw detected edge segmentsfor i in range(len(segments)):        color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))        cv.polylines(ssrc, [segments[i]], False, color, 1, cv.LINE_8)    cv.imshow("detected edge segments", ssrc)#Draw detected linesif lines is not None: # Check if the lines have been found and only then iterate over these and add them to the image        lines = np.uint16(np.around(lines))for i in range(len(lines)):            cv.line(lsrc, (lines[i][0][0], lines[i][0][1]), (lines[i][0][2], lines[i][0][3]), (0, 0, 255), 1, cv.LINE_AA)    cv.imshow("detected lines", lsrc)#Draw detected circles and ellipsesif ellipses is not None: # Check if circles and ellipses have been found and only then iterate over these and add them to the imagefor i in range(len(ellipses)):            center = (int(ellipses[i][0][0]), int(ellipses[i][0][1]))            axes = (int(ellipses[i][0][2])+int(ellipses[i][0][3]),int(ellipses[i][0][2])+int(ellipses[i][0][4]))            angle = ellipses[i][0][5]            color = (0, 0, 255)if ellipses[i][0][2] == 0:                color = (0, 255, 0)            cv.ellipse(esrc, center, axes, angle,0, 360, color, 2, cv.LINE_AA)    cv.imshow("detected circles and ellipses", esrc)    cv.waitKey(0)    print('Done')if __name__ == '__main__':    print(__doc__)    main()    cv.destroyAllWindows()

//公众号--OpenCV与AI深度学习
#include <iostream>#include <opencv2/opencv.hpp>#include <opencv2/ximgproc/edge_drawing.hpp>
using namespace std;using namespace cv;using namespace ximgproc;
int main(){  Mat src = imread("./imgs/11.bmp");  if (src.empty())  {    cout << "src image is empty, check again!" << endl;    return -1;  }  //resize(src, src, Size(), 0.2, 0.2);  imshow("src", src);  Mat gray;  cvtColor(src, gray, COLOR_BGR2GRAY);
  double start = static_cast<double>(getTickCount()); //计时开始    Ptr<EdgeDrawing> ed = createEdgeDrawing();  ed->params.EdgeDetectionOperator = EdgeDrawing::PREWITT;  ed->params.MinPathLength = 50; // try changing this value between 5 to 1000  ed->params.PFmode = false; //defaut value try to swich it to true  ed->params.MinLineLength = 10; // try changing this value between 5 to 100  ed->params.NFAValidation = false; // defaut value try to swich it to false  ed->params.GradientThresholdValue = 20;

Ptr<EdgeDrawing> ed = createEdgeDrawing();ed->params.EdgeDetectionOperator = EdgeDrawing::LSD;ed->params.MinPathLength = 50; // try changing this value between 5 to 1000ed->params.PFmode = false; //defaut value try to swich it to trueed->params.MinLineLength = 10; // try changing this value between 5 to 100ed->params.NFAValidation = true; // defaut value try to swich it to falseed->params.GradientThresholdValue = 20;